GitHub - ModelDBRepository/266578: Molecular layer interneurons in cerebellum encode valence in associative learning (Ma et al 2020)

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10480.tmp		10480.tmp
2_compartment_template.hoc		2_compartment_template.hoc
Golgi_Ca_LVA.mod		Golgi_Ca_LVA.mod
Golgi_KA.mod		Golgi_KA.mod
Golgi_KV.mod		Golgi_KV.mod
Golgi_Na.mod		Golgi_Na.mod
PC_alx.swc		PC_alx.swc
PF_template.hoc		PF_template.hoc
Plot_results.m		Plot_results.m
README.html		README.html
SC_morphology.hoc		SC_morphology.hoc
SC_template.hoc		SC_template.hoc
SC_withoutaxon.swc		SC_withoutaxon.swc
bkpkj.mod		bkpkj.mod
cad.mod		cad.mod
cadiff.mod		cadiff.mod
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gkca.mod		gkca.mod
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ka.mod		ka.mod
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kpkj.mod		kpkj.mod
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kv1.mod		kv1.mod
leak.mod		leak.mod
lesbos.ses		lesbos.ses
lkpkj.mod		lkpkj.mod
mosinit.hoc		mosinit.hoc
mosinit_PC_SC_SminusCNO.hoc		mosinit_PC_SC_SminusCNO.hoc
mosinit_PC_SC_SminusSaline.hoc		mosinit_PC_SC_SminusSaline.hoc
mosinit_PC_SC_SplusCNO.hoc		mosinit_PC_SC_SplusCNO.hoc
mosinit_PC_SC_SplusSaline.hoc		mosinit_PC_SC_SplusSaline.hoc
myexchanger.mod		myexchanger.mod
myexchangersoma.mod		myexchangersoma.mod
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mypumpsoma.mod		mypumpsoma.mod
nadifl.mod		nadifl.mod
narsg.mod		narsg.mod
newnew.mod		newnew.mod
pump.mod		pump.mod
screenshot.png		screenshot.png

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<html>
<p>Developer Fabio Simoes de Souza, 2020 <br/>
University of Colorado Anschutz Medical Campus
University Federal of ABC
</p><p>Ma et al., 2020<br/>
Molecular layer interneurons in the cerebellum encode for valence in
associative learning<br/>
Nature Communications
</p><p>biorXiv <a href="https://doi.org/10.1101/2019.12.14.876201">https://doi.org/10.1101/2019.12.14.876201</a> 
</p><p>Region: Cerebellum<br/>
Cell Type: Purkinje cell (PC) and Stellate cell (SC)
Simulator: NEURON 
</p><p>Model Input: PF background input from 0 to 2000ms and from 4000ms to 5000ms. 
Odorant-driven PF input from 2000ms to 4000ms.
CF input at 4000ms for S+ conditions.<br/>
Model Output: PC and SC firing in response to PF and CF inputs
</p><ol>
  <li>Download the model package from the Downloads section.  </li><li>Unzip the downloaded package  </li><li>Run mknrndll (mswin), or nrnivmodl (all platforms) to compile the mechanisms  </li><li>Choose the experimental condition by uncommenting the desired line
in the file mosinit.hoc</li></ol>
<p>S+ and Saline:<br/>
//load_file("mosinit_PC_SC_SplusSaline.hoc")
</p><p>S- and Saline:<br/>
//load_file("mosinit_PC_SC_SminusSaline.hoc")
</p><p>S+ and CNO:<br/>
//load_file("mosinit_PC_SC_SplusCNO.hoc")
</p><p>S- and CNO:<br/>
//load_file("mosinit_PC_SC_SminusCNO.hoc")
</p><p>5) Run the file mosinit.hoc (with nrngui). If you need more help
running the model please consult:<br/>
<a href="https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide">https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide</a>
</p><p>6) 20200715: an update from Fabio Simoes de Souza to include spike
time saving in hoc files and Plot_results.m matlab file to plot them
similar to Suppl. Fig. 14:
</p>
<p>
  <img src="./screenshot.png" alt="screenshot" width="650">
    </p>
</html>